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Prediction of Metal Additively Manufactured Bead Geometry Using Deep Neural Network [PDF]
SensorsAdditive Manufacturing (AM) is a pivotal technology for transforming complex geometries with minimal tooling requirements. Among the several AM techniques, Wire Arc Additive Manufacturing (WAAM) is notable for its ability to produce large metal ...
Min Seop So +3 more
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Prediction of deposition bead geometry in wire arc additive manufacturing using machine learning
Journal of Materials Research and Technology, 2022 The deposition bead geometry in the arc strike zone is often abnormal compared with that in the middle deposition zone. The accumulation of these errors in the deposition process results in defects in the overall geometry of the deposition bead.
Won-Jung Oh +2 more
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Applied Sciences, 2021 In Laser Wire Additive Manufacturing (LWAM), the final geometry is produced using the layer-by-layer deposition (beads principle). To achieve good geometrical accuracy in the final product, proper implementation of the bead geometry is essential.
Natago Guilé Mbodj +4 more
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Defence Technology, 2018 Prediction of weld bead geometry is always an interesting and challenging research topic as it involves understanding of complex multi input and multi output system.
P. Mastanaiah +2 more
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Development of a Deep Learning-Based Decision Framework for Optimal Process Parameter Selection in Metal Additive Manufacturing [PDF]
SensorsConventional subtractive manufacturing methods, such as cutting, often result in material waste and limitations in geometric complexity. To address these challenges, Wire Arc Additive Manufacturing (WAAM), in which components are built through successive
Min Seop So +3 more
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Impact of Gas Metal Arc Welding Parameters on Bead Geometry and Material Distortion of AISI 316L
Journal of Manufacturing and Materials Processing, 2023 This study investigates the impact of gas metal arc welding (GMAW) parameters on the bead geometry and material distortion of AISI 316L. Three parameters—arc current in ampere (A), filler feed rate (m/min), and gas composition—were modified at varying ...
Samir Khrais +3 more
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Prediction of Bead Geometry with Changing Welding Speed Using Artificial Neural Network [PDF]
Materials, 2021 Hongming Gao
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Modeling of Weld Bead Geometry Using Adaptive Neuro-Fuzzy Inference System (ANFIS) in Additive Manufacturing [PDF]
Journal of Applied and Computational Mechanics, 2020 Additive Manufacturing describes the technologies that can produce a physical model out of a computer model with a layer-by-layer production process. Additive Manufacturing technologies, as compared to traditional manufacturing methods, have the high ...
Abolfazl Foorginejad +3 more
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Development of an Artificial Intelligence-Based System for Predicting Weld Bead Geometry
Applied Sciences, 2023 The prediction of the weld bead geometry parameters is an important aspect of welding processes due to it is related to the strength of the welded joint.
Ngoc-Hien Tran +2 more
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Fracture and Structural Integrity, 2022 Gas tungsten arc welding (GTAW) is an important in manufacturing industries where it is significant to control the mechanical and metallurgical characteristics and its weld bead geometry.
H. S. Patil, D. C. Patel
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